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Remote Data Labeling Jobs in Washington (NOW HIRING)

Judge Group, Inc.

Sr. Data Engineer (AI/ML)

Reston, VA · Remote

$100K - $160K/yr

Remote Security Clearance: DHS Suitability - contract requires U.S. Citizenship Must Have ... Experience with ETL, Data Labeling and Data Prep. Experience designing, implementing, and ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

... for remote work to be determined by the program manager and customer. Essential Functions ... Data Scientist with 4 years of experience including experience in applied NLP, data labeling ...

HiddenLayer

Data Scientist

Washington, DC · Remote

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join ... Security problems rarely come with clean labels or clean data. You're able to frame problems, scope ...

First American

Senior Data Security Engineer

Washington, DC · Remote

$129.30K - $172.30K/yr

... and labeling sensitive data, and applying encryption or other security controls to protect and ... We are open to remote candidates for this role What You'll Do: * Drive initiatives like expanding ...

Citizant

Senior Data Protection Analyst

Chantilly, VA · On-site +1

$88.90K - $112.10K/yr

Join our remote team as a Senior Data Protection Analyst , where you will serve as a technical ... Recommend and drive enhancements to enterprise document labeling and handling processes, ensuring ...

Citizant

Senior Data Protection Analyst

Chantilly, VA · On-site +1

$88K - $111.10K/yr

Job OverviewJoin our remote team as a Senior Data Protection Analyst, where you will serve as a ... Recommend and drive enhancements to enterprise document labeling and handling processes, ensuring ...

Dev Technology

Microsoft 365 Administrator

Reston, VA · Remote

Remote Clearance: US Citizenship required. Must be able to obtain and maintain a DHS Public Trust ... Data Lifecycle Management (retention labels, retention policies, records management) * Implement ...

New

Hire Talent

Certified Medical Coder

Mclean, VA · Remote

$23 - $31.50/hr

Position Status Label: Non- Exempt Labor Category: Admin Remote/Onsite: Remote Additional ... compile data from medical records for appropriate optimal reimbursement for hospital and/or ...

Alpha Omega Integration

Public Health Analyst

Vienna, VA · Remote

$57K - $60K/yr

Remote Alpha Omega is looking for a Public Health Analyst with very strong data management and ... Identify errors/omissions of variable formats or labels. * Document problems and proposed ...

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How much do remote data labeling jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote data labeling in Washington is $36.88, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $49.81 per hour, depending on experience, location, and employer.

What is a Remote Data Labeling job?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

What are the key skills and qualifications needed to thrive in the Remote Data Labeling position, and why are they important?

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

What are some common challenges faced by remote data labelers, and how can they be managed?

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.
More about Remote Data Labeling jobs
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Remote Data Labeling jobs near you
Sr. Data Engineer (AI/ML)

Sr. Data Engineer (AI/ML)

Judge Group, Inc.

Reston, VA • Remote

$100K - $160K/yr

Other

Posted 28 days ago

Job description

Location: Reston, VA
Salary: $100,000.00 USD Annually - $160,000.00 USD Annually
Description:
Position: Sr Data Engineer (AI/ML)
Location: Remote
Security Clearance: DHS Suitability - contract requires U.S. Citizenship
Must Have Qualifications: 5+ years of experience in Data/ML engineering (if school experience is used, at most that would contribute to 4 years of actual experience).
Experience with ETL, Data Labeling and Data Prep.
Experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, operationalizing and maintaining AI/ML models in production.
Ability to perform data analytics on program related or system related activities. This will include assessing performance and manual processes implementing methods/algorithms to automate/optimize
Bachelor's degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience and the ability to obtain and maintain DHS Suitability.
Nice to Haves (not listed on the job description): Experience with Python, Redis, Elastic, Dask, Postgres, Spark, AI
Experience within Big Data environments (managing, accessing)
Experience operating in a DevSecOps and MLOps environment
Familiarity with cloud services, CPUs and GPUs
Possess the ability to work independently/with minimal oversight
Team player, passionate, and have a strong work ethic!
  • Describe this role in 2-3 sentences: As a Sr. Data Engineer I, you will support system delivery by performing integrated data analytics, artificial intelligence and machine learning (AI/ML), and DevSecOps tasks in cloud environments, while helping design and implement data-driven web applications. This role contributes to the modernization of complex, legacy, large-scale Identity Management Systems that support internet-facing websites and mission-critical IT systems.

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